English(EN) RT @vipulved: DeepSeek V4 Pro on @togethercompute becomes #1 on both latency and speed. https://t.co/J0gNQw4NHi

DeepSeek V4 Pro 在 Together AI 的速度和延迟基准测试中位居榜首

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-14 15:25

在 Together AI 平台上部署的 DeepSeek V4 Pro 在输出速度和延迟方面均达到了人工智能分析的最高排名。这一性能归功于推理系统的进步，包括对 KV 缓存、前缀重用和内核效率的优化。这一成就凸显了推理系统工程在最大化模型性能方面的重要性。 AI

影响在速度和延迟基准测试中取得顶级性能，表明在高效的 AI 模型部署和推理方面取得了进展。

排序理由该集群报告了某个开源模型的基准测试性能，属于研究范畴。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Research; 该集群报告了某个开源模型的基准测试性能，属于研究范畴。
Source corroboration: 2 independent sources; Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics: model release, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 83 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

X — Together (inference / OSS) TIER_1 English(EN) · togethercompute · 2026-06-14 17:03

DeepSeek V4 Pro 在 Together AI 上已在输出速度和延迟方面均位列 Artificial Analysis 第一名。

DeepSeek V4 Pro on Together AI is now #1 on Artificial Analysis for both output speed and latency. Serving V4 well is an inference systems problem: KV cache, prefix reuse, kernels, and endpoint profiles. We break down the systems work here: https://t.co/RLHi35DFif
X — Together (inference / OSS) TIER_1 English(EN) · togethercompute · 2026-06-14 15:25

RT @vipulved: DeepSeek V4 Pro 在 @togethercompute 上在延迟和速度方面均排名第一。https://t.co/J0gNQw4NHi

RT @vipulved: DeepSeek V4 Pro on @togethercompute becomes #1 on both latency and speed. https://t.co/J0gNQw4NHi